176 to 200 of 1,772 Machine Learning Jobs in London

want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. You will work on: The Representation Learning team's charter is to enable embedding latent representations of entities across our platform. The unique challenges/opportunities that you would help tackle are embedding entities to understand … innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges. Strong skills in SQL and … the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys,Large Language Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role can be on-site hybrid working or a remote More ❯

Location: London – Flexible and hybrid working options available; please consult with your recruiter for details. Grade: GG10-GG11 Referral Bonus: £5,000 Are you passionate about AI/ML technology? Do you enjoy solving complex challenges as part of a team dedicated to national security? Join BAE Systems as an experienced Machine Learning (ML) Engineer. In our AI … team, you will collaborate with National Security Customers to identify how AI/ML solutions can add value. You will lead prototype development, designing, implementing, and deploying AI solutions. This role requires a solid foundation in software engineering, statistics, and AI/ML concepts, along with awareness of the latest advancements in the field. You will be part of a … to validate technical assumptions and assess technology maturity. Develop, test, and deploy machine learning models, demonstrating their transition from prototypes to products, and support other teams developing ML solutions. This is a pivotal time to join our AI growth journey, developing innovative products and services that support our mission and make a significant impact on UK security. About More ❯

please speak to your recruiter about the options for this particular role. Grade: GG10-GG11 Referral Bonus: £5,000 Are you passionate about working with cutting-edge AI/ML technology? Are you self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE Systems as an experienced Machine Learning (ML) Engineer. As part of our AI team, you will be working with our National Security Customers to understand their business challenges and identify where AI/ML-based solutions can add value. You will lead on prototype development and be responsible for designing, implementing, and deploying AI solutions. This cross-functional role requires a strong foundation … in software engineering, statistics, and AI/ML concepts. Due to the fast-paced change in AI/ML, you are expected to be aware of the latest advancements in AI and ML technologies, ensuring that solutions are both innovative and effective. You’ll work as part of an empowered, multi-disciplinary AI team whose purpose is to develop common More ❯

Location: London - Flexible hybrid working arrangements available. Please discuss options with your recruiter. Grade: GG10-GG11 Referral Bonus: £5,000 Are you passionate about cutting-edge AI/ML technology? Are you motivated to find innovative solutions to complex challenges as part of a team dedicated to national security? Join BAE Systems as an experienced Machine Learning (ML … Engineer. As part of our AI team, you will work with National Security Customers to understand their challenges and identify where AI/ML solutions can add value. You will lead prototype development and be responsible for designing, implementing, and deploying AI solutions. This role requires a strong foundation in software engineering, statistics, and AI/ML concepts, with an … awareness of the latest advancements in AI and ML technologies. You will be part of a multidisciplinary AI team focused on developing AI propositions that benefit our customers. Collaborating with data scientists, AI strategists, and delivery managers, you will engage in activities aligned with our AI Strategy, which includes: Customer Focus: Understanding needs and measuring AI value Market Positioning: Establishing More ❯

Location: London – Flexible hybrid working arrangements available. Please discuss options with your recruiter. Grade: GG10-GG11 Referral Bonus: £5,000 Are you passionate about cutting-edge AI/ML technology? Are you motivated to find innovative solutions to complex challenges as part of a team dedicated to national security? Join BAE Systems as an experienced Machine Learning (ML … Engineer. As part of our AI team, you will work with National Security Customers to understand their challenges and identify where AI/ML solutions can add value. You will lead prototype development and be responsible for designing, implementing, and deploying AI solutions. This role requires a strong foundation in software engineering, statistics, and AI/ML concepts, with an … awareness of the latest advancements in AI and ML technologies. You will be part of a multidisciplinary AI team focused on developing AI propositions that benefit our customers. Collaborating with data scientists, AI strategists, and delivery managers, you will engage in activities aligned with our AI Strategy, which includes: Customer Focus: Understanding needs and measuring AI value Market Positioning: Establishing More ❯

please speak to your recruiter about the options for this particular role. Grade: GG10-GG11 Referral Bonus: £5,000 Are you passionate about working with cutting-edge AI/ML technology? Are you self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE Systems as an experienced Machine Learning (ML) Engineer. As part of our AI team, you will be working with our National Security Customers to understand their business challenges and identity where AI/ML-based solutions can add value. You will lead on prototype development and be responsible for designing, implementing, and deploying AI solutions. This cross-functional role requires a strong foundation … in software engineering, statistics, and AI/ML concepts. Due to the fast-paced change in AI/ML, you are expected to be aware of the latest advancements in AI and ML technologies, ensuring that solutions are both innovative and effective. You'll work as part of an empowered, multi-disciplinary AI team who's purpose is to develop More ❯

the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware, and applications for the Bloomberg Terminal. Our projects include machine learning-powered products, cloud computing infrastructure and strategy, open source stewardship, generative … AI, and more. We are passionate about what we do. For more than a decade, Bloomberg has been a trailblazer in its application of AI, Machine Learning (ML), and Natural Language Processing (NLP) in finance. We build models and systems that power sentiment analysis, classification, question answering, document understanding, recommendation, and more, using state of the art AI … HCI, AI, similar field of study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud computing platforms, experience with public cloud providers such as AWS More ❯

the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware, and applications for the Bloomberg Terminal. Our projects include machine learning-powered products, cloud computing infrastructure and strategy, open source stewardship, generative … AI, and more. We are passionate about what we do. For more than a decade, Bloomberg has been a trailblazer in its application of AI, Machine Learning (ML), and Natural Language Processing (NLP) in finance. We build models and systems that power sentiment analysis, classification, question answering, document understanding, recommendation, and more, using state of the art AI … HCI, AI, similar field of study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud computing platforms, experience with public cloud providers such as AWS More ❯

provide deep customer insights, predict behaviour, and enable hyper-targeted marketing. Responsibilities: Lead the organization’s data science initiatives, developing advanced analytics strategies, and driving innovation through AI and machine learning Develop and implement the company’s data science strategy to drive business growth. Stay ahead of emerging trends in … data science, AI, and big data technologies. Challenge the status quo and always look for ways to improve data science Oversee the development, deployment, and optimisation of AI/ML models. Partner with business leaders to identify key challenges and opportunities. Requirements: PhD or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proven leadership … a data science or AI-driven organization. Proficient in Python (core skill), with strong experience in SQL, AWS, and CI/CD pipelines Strong technical expertise in AI/ML and advanced analytics. Excellent problem-solving, communication, and stakeholder management skills. Strategic vision and business acumen. **Please note that this role does not offer visa sponsorship** How to Apply: Register More ❯

provide deep customer insights, predict behaviour, and enable hyper-targeted marketing. Responsibilities: Lead the organization’s data science initiatives, developing advanced analytics strategies, and driving innovation through AI and machine learning Develop and implement the company’s data science strategy to drive business growth. Stay ahead of emerging trends in … data science, AI, and big data technologies. Challenge the status quo and always look for ways to improve data science Oversee the development, deployment, and optimisation of AI/ML models. Partner with business leaders to identify key challenges and opportunities. Requirements: PhD or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proven leadership … a data science or AI-driven organization. Proficient in Python (core skill), with strong experience in SQL, AWS, and CI/CD pipelines Strong technical expertise in AI/ML and advanced analytics. Excellent problem-solving, communication, and stakeholder management skills. Strategic vision and business acumen. **Please note that this role does not offer visa sponsorship** How to Apply: Register More ❯

the most advanced language model in the industry and revolutionize company interactions with AI. We are looking for a creative problem solver with a deep understanding of NLP and ML technologies to help us develop powerful AI applications. As an AI engineer at Writer, you will play a key role in developing and deploying cutting-edge generative AI models and … model performance through testing and experimentation. Deploy and improve LLM-based applications in production. Integrate AI capabilities into production systems, ensuring scalability and efficiency. Stay updated with AI and ML advancements and suggest improvements. Work with cross-functional teams to develop AI solutions based on business needs. Design, implement, and maintain scalable retrieval and agentic systems. Implement testing and CI … this you? Bachelor's degree in CS, Engineering, Mathematics, or related field, or equivalent experience. Proficiency in Python programming. 5+ years of experience in software engineering and AI/ML development, including: Experience with production software and systems design. Knowledge of machine learning algorithms and model development. Experience with ML lifecycle tools like MLflow, DVC, Weights & Biases. Experience More ❯

improvements. THE ROLE You'll join a skilled data team to lead the build and optimisation of scalable pipelines using DBT, Airflow, and Databricks. Working alongside data scientists and ML engineers, you'll support everything from raw ingestion to curated layers powering LLMs and advanced analytics.Your responsibilities will include: Building and maintaining production-grade ETL/ELT workflows with DBT … and Airflow Collaborating with AI/ML teams to support data readiness for experimentation and inference Writing clean, modular SQL and Python code for use in Databricks Contributing to architectural decisions around pipeline scalability and performance Supporting the integration of diverse data sources into the platform Ensuring data quality, observability, and cost-efficiency KEY SKILLS AND REQUIREMENTS Strong experience with … SKILLS Exposure to LLM workflows or vector databases Experience in the media, content, or publishing industries Familiarity with cloud data platforms (e.g., AWS or Azure) Knowledge of MLOps and ML/data science pipelines HOW TO APPLY To register your interest, please apply via the link or get in touch with your CV. More ❯

We are looking for a well-established Data Scientist at all levels who wants new challenges. As a Senior Data Scientist, you will work using data engineering, statistical, and ML/AI approaches to uncover data patterns and build models. We use Microsoft tech stack, including Azure Databricks (Pyspark, python), and we are expanding our data science capabilities. To be … not working, to pause and change approach. The Data Science department is currently a smaller team, with an ambition to grow, with a mix of a Data Scientists and ML engineers. Therefore, it is an excellent opportunity to grow, contribute and challenge yourself. We are not an isolated function, so expect to work closely with business stakeholders, data engineers, marketing … analysts and BI analysts to improve our existing models, create new models, and bring our expertise. Core Responsibilities Apply advanced statistical techniques and ML/AI models to development and production environments Collaborate with team members and stakeholders to build data science products that enable others to make business decisions Qualifications Postgraduate degree in a relevant discipline (e.g. STEM, Maths More ❯

role, you will have the autonomy to shape our infrastructure, ensuring scalable, efficient, and robust operations that support rapid model iteration and deployment at scale. Key Responsibilities: Design & Implement ML Workflows Build and Scale Our MLOps Platform Design, develop, and optimise a high-throughput model inference system for production-grade AI. Create streamlined workflow pipelines for model training, testing, monitoring … Performance Optimization: Implement monitoring (using Prometheus/Grafana and similar tools) and logging solutions to ensure system reliability and to optimise model throughput. Collaborate Across Teams: Work closely with Machine Learning engineers to enable their delivery What We're Looking For: Our ideal candidate will have a strong background in machine learning, MLOps, and cloud technologies … Aldgate with the option to work in a hybrid environment. We tend to come into the office 2-3 times a week, although you can come in more! Ongoing Learning & Development Access top-tier training, mentorship, and continuous support to advance your career. Time Off Enjoy 25 days of holiday per year, plus UK bank holidays, to recharge and More ❯

testing, and deployment of robust AI solutions Develop compelling product marketing materials that effectively communicate technical capabilities to non-technical audiences Stay at the forefront of emerging AI/ML technologies to ensure our solutions remain innovative and competitive Ensure all AI solutions adhere to data privacy regulations and security best practices, incorporating privacy-by-design principles throughout the development … lifecycle Experience & Qualifications 5+ years of experience designing and implementing AI/ML solutions in enterprise software environments, with a proven track record of launching automation solutions and AI features in complex business contexts Strong understanding of machine learning algorithms, NLP, and LLMs with demonstrated business application expertise Experience developing AI-powered automation systems, intelligent assistants/copilots … AI agent frameworks and architectures such as ReAct for building more effective autonomous agents for complex property management workflows and decision-making processes Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch), LLM orchestration tools (LangChain, LangGraph), MLOps practices and tooling (such as MLflow, Kubeflow, or similar), vector databases, and cloud platforms (AWS, Azure, GCP) with their AI/ More ❯

testing, and deployment of robust AI solutions Develop compelling product marketing materials that effectively communicate technical capabilities to non-technical audiences Stay at the forefront of emerging AI/ML technologies to ensure our solutions remain innovative and competitive Ensure all AI solutions adhere to data privacy regulations and security best practices, incorporating privacy-by-design principles throughout the development … lifecycle Experience & Qualifications 5+ years of experience designing and implementing AI/ML solutions in enterprise software environments, with a proven track record of launching automation solutions and AI features in complex business contexts Strong understanding of machine learning algorithms, NLP, and LLMs with demonstrated business application expertise Experience developing AI-powered automation systems, intelligent assistants/copilots … AI agent frameworks and architectures such as ReAct for building more effective autonomous agents for complex property management workflows and decision-making processes Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch), LLM orchestration tools (LangChain, LangGraph), MLOps practices and tooling (such as MLflow, Kubeflow, or similar), vector databases, and cloud platforms (AWS, Azure, GCP) with their AI/ More ❯

to drive safer roads and fairer insurance through data. The Telematics team transforms raw phone sensor data into meaningful insights about how people drive. Using advanced signal processing and machine learning, we process high-frequency data to extract behavioural signals that power our understanding of driving quality, context, and risk. About the Role As a Senior Data Scientist … you will be doing Design and build robust behavioural features and factors from telematics data. Develop end-to-end pipelines in Python and SQL, from quick heuristics to full ML models. Prioritise simple, robust solutions that scale, whether rule-based or ML-driven. Collaborate with Software Engineers and Product Managers to deploy features and validate impact. Lead experiments, explore new … translate ambiguous problems into structured, testable ideas and share insights across technical and non-technical teams. A growth mindset: you're curious, open to feedback, and driven to keep learning and improving. Nice to Have Experience working with noisy, high-frequency, or sensor/time-series data (e.g. GPS, accelerometer), and making sense of it. Experience with digital signal More ❯

industry leader. You’ll lead and grow a talented team, build a world-class engineering culture, and work hand-in-hand with our commercial and product teams to deliver ML/AI-powered tools that solve real-world problems in commodities and financial markets. What You’ll Be Doing Own the technical strategy and execution across our core products, including … tech, product, and commercial functions. Restrictions No telecommuting No Agencies Please Requirements Proven leadership minimum 8 solid years experience in a SaaS B2B environment, ideally in an AI/ML or data-centric company. Experience scaling teams in start-ups or Series A/B growth phases (experience at both start-up and enterprise level is a bonus). Deep … architectures. Strong understanding of Agile development, continuous delivery, and lean team dynamics. People-first leadership style with a track record of mentoring and developing high-performing teams. Exposure to machine learning, NLP, or financial data products is highly desirable. Ability to operate in ambiguity, balancing rapid execution with strategic long-term thinking. About The Company Permutable AI is More ❯

can't wait to hear from you! KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining … Experience of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g., xgboost, regression, decision trees) Experience with physics modelling highly desirable Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g., reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python skills, including relevant libraries for data More ❯

a Principal Scientist in MSAI, you will work in an exciting and fast-paced, collaborative environment. You'll bring deep expertise in large language models (LLMs), information retrieval, and machine learning to improve the quality and scalability of M365 Copilot.You'll partner closely with engineering and product teams to innovate, design and evaluate end-to-end AI solutions … technically ambitious projects that directly shape the future of Microsoft 365 Copilot.Examples include: Advancing deep reasoning in Microsoft 365 Copilot by applying next-generation LLM fine-tuning and reinforcement learning techniques. Improving Copilot Chat and Researcher response quality through state-of-the-art grounding data selection strategies. Enhancing Copilot Search by developing novel content representation models. Building the next … Math, Physics, Statistics, OR related areas is highly preferred. Candidates with master's degree with proven industry experience or a strong publication record in the areas of Information Retrieval, Machine Learning, Natural Language Processing, and Deep Learning are considered as well. Extensive hands-on experience building and deploying products using Machine Learning. Specifically, we are looking More ❯

organisation's ability to understand client behaviour, refine predictive models, and deliver actionable insights that influence key business outcomes. You will take on the responsibility of developing and optimising machine learning models, analysing complex datasets, and collaborating closely with cross-functional teams to integrate data solutions into broader business strategies! Embedded within a dynamic Data Science team, you … company's success. This role offers the opportunity to make a tangible difference and leave a lasting impact on the organisation's growth! Job Goals Design and implement advanced machine learning models to solve complex business problems. Optimise the performance of existing models and address weaknesses through detailed analysis. Collaborate with cross-functional teams to integrate analytics solutions … language such as Python, with experience in using Git for version control. Strong SQL skills and familiarity with databases like Redshift, Postgres, or Microsoft SQL Server. Solid understanding of machine learning algorithms, concepts, and applications, including regression, K-means, decision trees, neural networks, as well as exposure to generative AI and large language models (LLMs). Hands-on More ❯

and Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools … inclusion strategy. Skills and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data … of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing - Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role More ❯

and Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools … inclusion strategy. Skills and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data … of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role More ❯

and Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools … inclusion strategy. Skills and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data … of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role More ❯

and Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools … inclusion strategy. Skills and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data … of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role More ❯